The multi-criteria hesitant fuzzy group decision making with MULTIMOORA method

Shouzhen Zeng, Alvydas Baležentis, Weihua Su

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

As a generalization of fuzzy set, hesitant fuzzy set permits the membership degree of an element to a set being represented by several possible values and thus can be considered as a powerful tool to express uncertain information in the process of group decision making. The aim of this study is to present a multi-criteria decision making method, namely MULTIMOORA-HF, to tackle hesitant fuzzy information. Being an extension of the crisp MULTIMOORA method, the MULTIMOORA-HF is designed to facilitate group decision making with uncertain information. The proposed methods consists of the three parts-the Ratio System, the Reference Point, and the Full Multiplicative Form. The proposed method thus provides the means for multi-criteria decision making related to uncertain and complex assessments. Utilization of aggregation operators also enables to reduce subjectivity and bias in the group multi-criteria decision making. The numerical simulation exhibits the possibilities for application of the proposed method.

Original languageEnglish
Pages (from-to)171-184
Number of pages14
JournalEconomic Computation and Economic Cybernetics Studies and Research
Volume47
Issue number3
Publication statusPublished - 2013

Fingerprint

Fuzzy Group
Fuzzy Decision
Group Decision Making
Multi-criteria
Decision making
Multicriteria Decision-making
Fuzzy sets
Fuzzy Sets
Fuzzy Information
Aggregation Operators
Reference Point
Multiplicative
Express
Agglomeration
Group decision making
MULTIMOORA
Numerical Simulation
Computer simulation
Multicriteria decision-making

Keywords

  • Group decision making
  • Hesitant fuzzy set
  • MCDM
  • MULTIMOORA
  • OWA operator
  • Personnel management

ASJC Scopus subject areas

  • Economics and Econometrics
  • Computer Science Applications
  • Applied Mathematics

Cite this

The multi-criteria hesitant fuzzy group decision making with MULTIMOORA method. / Zeng, Shouzhen; Baležentis, Alvydas; Su, Weihua.

In: Economic Computation and Economic Cybernetics Studies and Research, Vol. 47, No. 3, 2013, p. 171-184.

Research output: Contribution to journalArticle

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